Background to the issue
The disconnect between API documentation and implementation can lead to developer confusion and integration problems, especially in microservices architectures where manually maintaining API documentation for multiple services is burdensome and error-prone.
DeepDocs solutions
Features designed specifically for API document synchronization include:
- Endpoint Change Detection: Automatically recognize RESTful endpoint modifications and update the corresponding documentation
- parameter synchronization: Adjust parameter descriptions in documents when request/response fields change
- revision mark: Clearly label the code version of the change in the documentation.
- Example hold: Maintain the code examples in the documentation to be consistent with the latest implementations
Configuration Guidelines
- Specify the API documentation path in deepdocs.yml (e.g. swagger/)
- Set document type to API reference mode (can add type: api configuration)
- Ensure that documentation includes code reference comments (for AI to establish mapping relationships)
- Configure document repositories for different microservices.
advanced skill
GitHub's webhook feature can be utilized to automatically notify the relevant teams when API documentation is updated. For important API changes, it is recommended to add a special alert tag in the documentation update PR.
This answer comes from the articleDeepDocs: the GitHub AI tool that automatically updates code documentationThe
May not be reproduced without permission:AI productivity tools " How can I avoid situations where the API documentation is inconsistent with the implementation?
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